About the Role
As a leader on the Agent Software Engineering team, you'll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You'll work directly with leaders across industries like finance, healthcare, and hospitality, solving their users' needs with reliable and intuitive AI agents.
Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
In this role, you will
Lead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
Collaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agents
Partner with product, design and research to identify cross-customer trends that guide the evolution of Decagon's agent building platform and research efforts
Contribute to team strategy and help define the future of AI customer support agents
Your background looks something like this
Have 1+ years of engineering management experience
Have 5+ years of industry experience in software engineering
Proficiency with Python, Typescript and asynchronous programming
A high degree of comfort digging into systems failures within deep technology stacks using any tool necessary
Even better
Prior experience working with multi-modal models
Benefits
Medical, dental, and vision benefits
Take what you need vacation policy
Daily lunches, dinners and snacks in the office to keep you at your best
Compensation
300K $375K + Offers Equity
Software Engineering Manager • San Francisco, CA, US